1. Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein (often referred to as "CLRS")

• Description: This book is a comprehensive and rigorous introduction to algorithms, covering a wide range of topics in depth. It is widely used in university courses and is considered a standard reference.
• Why it's good: Known for its thoroughness, mathematical rigor, and clear explanations. It covers a vast array of algorithms and data structures.
• Source: MIT Press

2. Algorithms by Robert Sedgewick and Kevin Wayne

• Description: A practical and accessible guide to algorithms, with a focus on real-world applications. It includes Java implementations of the algorithms discussed.
• Why it's good: Provides clear explanations, elegant code examples, and excellent visualizations. It's well-suited for both learning and reference.
• Source: Algorithms 4th Edition Website

3. The Algorithm Design Manual by Steven S. Skiena

• Description: This book is designed to serve as a practical guide for algorithm design, providing a catalog of algorithmic problems and their solutions.
• Why it's good: Emphasizes problem-solving and provides a "war stories" section with real-world examples. It's a valuable resource for preparing for technical interviews.
• Source: Steven Skiena's Website

4. Data Structures and Algorithms in Java by Michael T. Goodrich, Roberto Tamassia, and Michael H. Goldwasser

• Description: A comprehensive treatment of data structures and algorithms using Java.
• Why it's good: Combines theoretical concepts with practical Java implementations. Known for its clear writing and in-depth coverage.
• Source: Wiley Online Library

5. Grokking Algorithms by Aditya Bhargava

• Description: A visually engaging and beginner-friendly introduction to algorithms.
• Why it's good: Uses lots of illustrations and step-by-step explanations to make complex concepts easier to understand. Ideal for those new to the subject.
• Source: Manning Publications